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Theses

Fouille de données et acquisition de connaissances à partir de bases de données de réactions chimiques

Abstract : Chemical reaction database, indispensable tools for synthetic chemists, are not free from flaws. In this thesis, we have tried to overcome the databases limits by adding knowledge which structures data. This allows us to consider new efficient modes for query these databases. In the end, the goal is to design systems having both functionalities of DB and KBS. In the knowledge acquisition process, we emphasized on the modelling of chemical objects. Thus, we were interested in synthetic methods which we have described in terms of synthetic objectives. Afterward, we based ourselves on the elaborated model to apply data mining techniques and to extract knowledge from chemical reaction databases. The experiments we have done on Resyn Assistant concerned the synthetic methods which construct monocycles and the functional interchanges and gave trends in good agreement with the domain knowledge.
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https://hal.univ-lorraine.fr/tel-01746871
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Sandra Berasaluce. Fouille de données et acquisition de connaissances à partir de bases de données de réactions chimiques. Autre. Université Henri Poincaré - Nancy 1, 2002. Français. ⟨NNT : 2002NAN10266⟩. ⟨tel-01746871⟩

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